Comparer des méthodes

	Programmation par objectifs multi-objectifs	Programmation Linéaire Multi-Objectif (PLMO)
Domaine	Simulation	Simulation
Famille	Process / pipeline	Process / pipeline
Année d'origine	1961	1955–1986
Auteur d'origine	Charnes, A. and Cooper, W. W.	Steuer, R. E.; Charnes, A.; Cooper, W. W.
Type	Mathematical programming / multi-criteria optimization	Mathematical optimization / vector optimization
Source fondatrice	Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 978-0471148258	Steuer, R. E. (1986). Multiple Criteria Optimization: Theory, Computation, and Application. John Wiley & Sons, New York. ISBN: 9780471888468
Alias	MOGP, Multi-goal programming, Vector goal programming, Multi-criteria goal programming	MOLP, Vector Linear Programming, Multi-criteria LP, Linear Vector Optimization
Apparentées	4	3
Résumé	Multi-Objective Goal Programming (MOGP) is a mathematical programming technique that simultaneously pursues several aspirational targets by minimizing weighted deviations from each goal. Rooted in Charnes and Cooper's original goal programming framework (1961), MOGP extends it to handle multiple competing objectives, making it indispensable in operations research, supply chain design, resource allocation, and policy analysis where decision-makers must satisfy — or come close to — multiple conflicting requirements at once.	Multi-Objective Linear Programming (MOLP) extends classical linear programming to handle several conflicting linear objective functions simultaneously over a feasible region defined by linear constraints. Instead of a single optimal solution, MOLP produces a Pareto-efficient frontier from which a decision-maker selects a preferred trade-off. It is foundational to operations research and management science for resource allocation, planning, and design problems with competing goals.